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transformators
and decorators
argument to modules (#863).Show Warnings
modals from modules.datasets_selected
argument of modules
in favor of datanames
.show_metadata
argument of
tm_front_page()
in favor of datanames
.teal.logger
functionality for logging changes in
shiny inputs in all modules.teal.data
.tm_g_distribution
to not start with validation
error (#823).tm_missing_data
in “Group by Subject”
that was not using reactive data call (#772).tm_g_regression
(#66).tm_g_association
where the app would
crash when a selected categorical variable was a factor instead of a
character (#645).teal::init()
. The data
argument will accept a teal_data
object.tm_a_regression
.tm_outliers
when changing the selected
variable would cause a popup.teal.slice
dependencies.chunks
with simpler qenv
class.datasets
argument containing
FilteredData
with the new arguments data
(tdata
object) and filter_panel_api
(FilterPanelAPI
).parent_dataname
argument to
tm_variable_browser
and tm_missing_data
to
allow specification of parent dataset for these modules.UI
labels and plot panel title in
tm_g_association
.tm_variable_browser
module for text size
and plot theme.ggplot
theme to be always selected in all
modules.shinyvalidate::InputValidator
instead of
shiny::validate
for better UI
experience.tm_g_scatterplot
when selected x and y
facets were the same.tm_g_distribution
to plot the
theoretical distribution with newer ggplot2
version.tm_g_bivariate
when adding lines
checkbox was available if one of x or y was deselected.tm_variable_browser
when changing
filters would reset the selected variable to the first on the list.scda
package dependency from examples.ggplot2
functions
..count..
, ..density..
and
..prop..
.forcats
dependency.scda
data generation functions with
random.cdisc.data
teal.reporter
functionality to all
modules.nestcolor
in the examples, refactored
tm_a_pca
and tm_missing_data
to allow using
nestcolor
.tm_g_scatterplot
.server_rendering
flag to
tm_data_table
to control whether the table is rendered
server or client side.tm_a_pca
tables.tm_t_crosstable
.tm_missing_data
when selecting only
variables with missings.tm_missing_data
when using
any_na
.Imports
to
Suggests
in the DESCRIPTION
file.magrittr
package from Depends
to
Imports
in the DESCRIPTION
file.teal
module tm_front_page
to simplify
creating a front page for teal
apps.tm_g_scatterplot
.tm_g_scatterplot
.Debug Info
.tm_a_regression.R
.tm_a_pca
.tm_outliers
.pkgdown
site.moduleServer
and updated call to
plot_with_settings_srv
after changes in
teal.devel
.data_extract_ui
. All selectors can return ordered selection
if one specifies ordered = TRUE
in
select_spec
.tm_missing_data
combination plot to
show data in descending order.By variable levels
output in
tm_missing_data
to allow numerical sorting.n
row in
tm_t_crosstable
.teal::root_modules
with
teal::modules
following deprecation of
teal::root_modules
.teal
framework.README
file.ggmosaic
package from Depends
to
Imports
in the DESCRIPTION
file.logger
package and
added info level logs upon initialization of a module.ggplot2::labs
and ggplot2::theme
in plot based modules.rtables::basic_table
in tm_t_crosstable
.tm_outliers
,
tm_g_scatterplotmatrix
, tm_g_association
, and
tm_t_crosstable
modules to adopt the new
teal.transform::data_merge_srv
and
teal.transform::data_extract_multiple_srv
modules.NA
in plot depicting
counts of tm_variable_browser
with a different color
fill.tm_variable_browser
to reflect the plot after
outliers
are removed.tm_variable_browser
histogram for factor like
variables.Variable
and Type
in tm_variable_browser
by separating the variable type
icons into their own column.Grouped by Subject
tab of the
tm_missing_data
module to present data the same way the
Summary
tab does.NA
level in grouping variable in
By variable levels
table in tm_missing_data
module.By variable levels
table in tm_missing_data
module.tm_g_scatterplot
to toggle the
option to free up the x and y axis scales whenever faceting arguments
are provided.tm_data_table
so that
Buttons
extension could download full table. Added example
for advanced usage of DT
in the module.tm_variable_browser
when the selected
column is logical(1)
.R >= 3.6
.input_id
argument from
teal.transform::data_merge_module
calls in all
modules.teal.devel::data_extract_input
into its replacement teal.transform::data_extract_ui
.teal.transform::data_merge_srv
to use
dplyr::inner_join
instead of dplyr::left_join
in tm_outliers
module.tm_g_distribution
module.test.nest
package.utils.nest
package and replaced
its functions with equivalents from the checkmate
package.tm_file_viewer
, was added for the
visualization of static files.tm_g_distribution
, was added for
distribution analysis.tm_variable_browser
.tm_variable_browser
sparkline
support for
Date
/POSIXct
/POSIXlt
variable
types.tm_outliers
filter_spec
support.select_spec
for categorical variables.tm_g_scatterplotmatrix
tm_g_association
tm_t_crosstable
tm_g_scatterplot
y
value when the
actual x
values are plugged in.LICENCE
and README
with new
package references.error_on_lint: TRUE
to .lintr
.type = 2
argument in
tm_variable_browser
to be in line with STREAM.tm_g_scatterplot
to compute trend line
statistics using ggpmisc::stat_poly_eq
to simplify code and
to have labels for each group on the plot.tm_g_scatterplot
to enable filtering via the
Encoding Panel using the new filter_spec
functionality.tm_variable_browser
.tm_outliers
to handle non-CDISC
datasets.UI
of tm_variable_browser
for
factor and character variables with more than 30 levels.sparklines
to remove NA values for numeric
variables.tm_g_scatterplot
.tm_g_scatterplot
handling users choosing more than one facet variable.tm_variable_browser
by a more
efficient sparkline
generation.tm_missing_data
.tm_a_regression
,
tm_missing_data
and tm_variable_browser
.tm_variable_browser
module.tm_t_crosstable
.tm_variable_browser
with datasets_selected
argument.by variable levels
tab of tm_missing_data
, not
just those selected to be displayed as rows in the table.tm_g_scatterplot
.tm_variable_browser
if no graph shown.DT
length reset in
tm_variable_browser
on “Show parent dataset variables”
checkbox tick.tm_outliers
tm_outliers
to analyze outliers in
datasets.tm_g_scatterplot
max_deg
optional argument to scatterplot to allow
users to choose the maximum smoothing degree for the trend line.tm_t_crosstable
. Incorporate missings resulting from non
inner join.tm_missing_data
caused by
input dataset
not having categorical variables or being a
data.frame
instead of tibble
.tm_a_pca
biplot plot when coloring with a
factor/character/numeric with < 6 values variable.tm_variable_browser
.Sparklines
no longer shown for numeric variables with
more than 100000 rows."Show variables other than in ADSL"
checkbox
to more general "Show parent dataset variables"
.tm_missing_data
are conditional
to the data being a CDISC
data.pre_output
and post_output
arguments
to tm_data_table
, tm_missing_data
,
tm_variable_browser
.tm_data_table
when selecting “show
distinct rows” if variable names had non-alphanumeric characters.tm_variable_browser
sparklines
for quick, inline variable
summaries.Date
, POSIXct
and
POSIXlt
.n
in statistics
table for numeric variables.tm_variable_browser
shows from 30 up to 50 levels
divided in 2 columns for character/factor variables with more than 30
unique levels.tm_a_regression
tm_a_regression
and
provided an additional optional argument,
default_outlier_label
which can be used to specify the
default column used to label outliers.tm_g_scatterplot
shape
and point color
arguments. The
latter users colourpicker::colourInput
.size_by
variable to scatterplot and allowed for
point size to be mapped to a numeric variable.tm_missing_data
tm_g_bivariate
tm_a_pca
Plot settings
and
Plot specific settings
.is_single_dataset
argument for
data_extract_input
function calls to simplify encodings
panel UI
.code
argument to cdisc_dataset
(from
cdisc_data
) in examples and vignettes.ggmosaic
version >= 0.3.0.tm_g_association
, tm_g_response
, and
tm_g_scatterplot
, as well as point size and opacity
settings for tm_g_association
and
tm_g_scatterplot
.pickerInput
with
optionalSelectInput
for tm_data_table
.facet
parameter to tm_g_bivariate
to specify whether the facet encodings elements should be visible to the
user by default.plot_with_height
module with new
plot_with_settings
module.tm_data_table
: allow developers to pass arguments to
DT::dataTable
and use pickerInput
to select
variables.tm_g_response
a new argument count_labels
.
Counts might be assessed for the frequency plot too.base
plots in tm_a_regression
with ggplot2
.width
in
plot_with_settings
.Inf
in data gracefully.tm_variable_browser
now outputs the summary table for
factors with all missing values.ggplot
call inside chunks in modules.dataname
to get_rcode_srv
.tm_data_table
.teal.code::chunks_push_data_merge
to include merge
code into reproducibility code.tm_variable_browser
.tm_bivariate
.magrittr
loading in reproducible code.tm_table
on tm_cross_table
.tm_cross_table
and
tm_t_percentage_table
into one module.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.